Senior SQA Engineer – Data & AI Platforms

Position requires a Bachelor’s degree in Computer Science or equivalent with a minimum of 6+ years test automation experience or relevant experience and training.

Software quality is a critical component of R&D Systems’s transformation toward a digital laboratory and AI-driven data platform.

This role designs and implements advanced test automation solutions across instrument software, data pipelines, analytics platforms, and AI-enabled applications.

Test Automation Engineer will work across modern lab ecosystems including instrument software, ELN platforms, LIMS systems, cloud data platforms (e.g., Databricks), and AI/analytics applications to ensure data integrity, traceability, and system reliability.

This role partners with software, data engineering, IT, and scientific teams to validate end-to-end workflows spanning instrument → data pipelines → cloud analytics → AI/ML use cases, ensuring compliance with Quality System and regulatory requirements.

We're rethinking protein tools and helping thousands of researchers around the world resolve their protein analysis problems so they can reveal new insight into proteins and their role in disease.  Software is vital to our success in developing award winning bio-tech instruments for the life sciences industry.  Our product development team is making products that are drastically changing how scientists and researchers use tools to become more productive.

Use your strong knowledge of test automation to expand the reliability of our instrument systems.